Comparison of statistical process monitoring methods: Application to the eastman challenge problem

Computers and Chemical Engineering

Volumn 24, Issue 2-7, 2000, Pages 175-181

  Kano, Manabu ^a,c   Nagao, Koji ^a   Hasebe, Shinji ^a   Hashimoto, Iori ^a   Ohno, Hiromu ^b   Strauss, Ramon ^c   Bakshi, Bhavik ^c  

^a KYOTO UNIVERSITY   (Japan)

^b KOBE UNIVERSITY   (Japan)

^c Ohio State University   (United States)

Author keywords

Fault detection; Monitoring; Pattern recognition; Principal component analysis; Statistical process control; Wavelet analysis

Indexed keywords

ALGORITHMS; CHEMICAL OPERATIONS; CHEMICAL PLANTS; COMPUTER SIMULATION; FAILURE ANALYSIS; PATTERN RECOGNITION; STATISTICAL METHODS; WAVELET TRANSFORMS;

FAULT DETECTION; MOVING PRINCIPAL COMPONENT ANALYSIS; TENNESSEE EASTMAN PROCESS;

STATISTICAL PROCESS CONTROL;

MONITORING TECHNIQUE; PROCESS CONTROL; STATISTICAL ANALYSIS;

CONFERENCE PAPER; DATA ANALYSIS; MONITORING; MULTIVARIATE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; SIMULATION; STATISTICAL ANALYSIS;

EID: 0034661131     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(00)00509-3     Document Type: Conference Paper

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